Introduction to Artificial Intelligence
... Categorizing the Definitions • Acting or thinking – Some definitions focus on thinking and reasoning, on the “mind” of the machine – Others focus on acting, on the behavior of the machine (whether there’s real thought behind it may not matter?) ...
... Categorizing the Definitions • Acting or thinking – Some definitions focus on thinking and reasoning, on the “mind” of the machine – Others focus on acting, on the behavior of the machine (whether there’s real thought behind it may not matter?) ...
Call for Papers - Southern Illinois University
... There is a fast pace in the conceptualization and development of agent-based applications in a variety of fields such as electronic commerce, supply chain management, resource allocation, project management, intelligent manufacturing, industrial control, information retrieval and filtering, computat ...
... There is a fast pace in the conceptualization and development of agent-based applications in a variety of fields such as electronic commerce, supply chain management, resource allocation, project management, intelligent manufacturing, industrial control, information retrieval and filtering, computat ...
PPT - Michael J. Watts
... By the same token, a machine doesn’t become…an intelligent machine, just because it can fool you into thinking that it’s thinking” o David B. Fogel, Blondie24: Playing at the Edge of AI pg 11 ...
... By the same token, a machine doesn’t become…an intelligent machine, just because it can fool you into thinking that it’s thinking” o David B. Fogel, Blondie24: Playing at the Edge of AI pg 11 ...
Rise of the Machines Computers could achieve superhuman levels
... hyperconnected world, superintelligent computers would have many ways to kill humans. They could knock out the internet-connected electricity grid, poison the water supply, cause havoc at nuclear power plants, or seize command of the military's remote-controlled drone aircraft or nuclear missiles. I ...
... hyperconnected world, superintelligent computers would have many ways to kill humans. They could knock out the internet-connected electricity grid, poison the water supply, cause havoc at nuclear power plants, or seize command of the military's remote-controlled drone aircraft or nuclear missiles. I ...
CS3014: Artificial Intelligence INTRODUCTION TO ARTIFICIAL
... spoken material, and additional examples given on the blackboard. In order to understand the subject and the reasons for studying the material, you will need to attend the lectures and take notes to supplement lecture slides. This is your responsibility. If there is anything you do not understand du ...
... spoken material, and additional examples given on the blackboard. In order to understand the subject and the reasons for studying the material, you will need to attend the lectures and take notes to supplement lecture slides. This is your responsibility. If there is anything you do not understand du ...
CS3014: Artificial Intelligence INTRODUCTION TO ARTIFICIAL
... spoken material, and additional examples given on the blackboard. In order to understand the subject and the reasons for studying the material, you will need to attend the lectures and take notes to supplement lecture slides. This is your responsibility. If there is anything you do not understand du ...
... spoken material, and additional examples given on the blackboard. In order to understand the subject and the reasons for studying the material, you will need to attend the lectures and take notes to supplement lecture slides. This is your responsibility. If there is anything you do not understand du ...
lecture01 - University of Virginia, Department of Computer Science
... History of AI Read the complete story in text • Alan Turing (1950) did much to define the problems and techniques • John McCarthy helped coordinate the players (1956) • Alan Newell and Herbert Simon (1956) did much to demonstrate first solutions • Marvin Minsky (student of von Neumann) built a neur ...
... History of AI Read the complete story in text • Alan Turing (1950) did much to define the problems and techniques • John McCarthy helped coordinate the players (1956) • Alan Newell and Herbert Simon (1956) did much to demonstrate first solutions • Marvin Minsky (student of von Neumann) built a neur ...
Artificial Intelligence Introduction
... Machine translation • MT has gone through ups and downs. • Today, Statistical Machine Translation leverages the vast amounts of available translated corpuses. • While there is room for improvement, machine translation has ...
... Machine translation • MT has gone through ups and downs. • Today, Statistical Machine Translation leverages the vast amounts of available translated corpuses. • While there is room for improvement, machine translation has ...
The Development of AI
... Eliza was one of the first attempts to write a program which could hold a conversation with a human. It was written by Joseph Weizenbaum in 1966 and is still popular today. The intention was to create a computer psychologist that could respond to people’s problems by talking them through. ...
... Eliza was one of the first attempts to write a program which could hold a conversation with a human. It was written by Joseph Weizenbaum in 1966 and is still popular today. The intention was to create a computer psychologist that could respond to people’s problems by talking them through. ...
Machine Intelligence Lab
... MI as engineering focussing on the important concepts and ideas underlying the design of intelligent autonomous machines⎯The goal is to engineer intelligent autonomous machines. De-emphasis on generality and abstraction, and emphasis on WHAT can be built, say, on a $300 Robot. Examples will be giv ...
... MI as engineering focussing on the important concepts and ideas underlying the design of intelligent autonomous machines⎯The goal is to engineer intelligent autonomous machines. De-emphasis on generality and abstraction, and emphasis on WHAT can be built, say, on a $300 Robot. Examples will be giv ...
Cognitive Science News
... analytical, theoretical, conceptual, foundational aspects and applied research; and a Videotape Track focusing on applications in all subfields best suited for this form of presentation. The 11th IJCAI will feature: 0 an outstanding technical program; 0 state-of-the-art exhibit of AI-related hardwar ...
... analytical, theoretical, conceptual, foundational aspects and applied research; and a Videotape Track focusing on applications in all subfields best suited for this form of presentation. The 11th IJCAI will feature: 0 an outstanding technical program; 0 state-of-the-art exhibit of AI-related hardwar ...
Computational Intelligence
... Definition: ability to learn, understand, apply knowledge, or think abstractly, esp. in relation to new or trying situations Properties: understanding (awareness) acting (conclusions) reasoning thinking ...
... Definition: ability to learn, understand, apply knowledge, or think abstractly, esp. in relation to new or trying situations Properties: understanding (awareness) acting (conclusions) reasoning thinking ...
Safety and Beneficence of Artificial General Intelligence (AGI) and
... or AGI) may have a transformative effect on the world on the scale of the agricultural or industrial revolution, which could bring about unprecedented levels of global prosperity. It is by no means guaranteed however that this transformation will be a positive one without a concerted effort by the A ...
... or AGI) may have a transformative effect on the world on the scale of the agricultural or industrial revolution, which could bring about unprecedented levels of global prosperity. It is by no means guaranteed however that this transformation will be a positive one without a concerted effort by the A ...
Document
... HEURISTICS (rules of thumb) to find a solution. Example: Chess masters don't look ahead very many moves, as a POWER approach implies. Instead they choose from a set of ‘good’ alternatives. ...
... HEURISTICS (rules of thumb) to find a solution. Example: Chess masters don't look ahead very many moves, as a POWER approach implies. Instead they choose from a set of ‘good’ alternatives. ...
10-15 Using Decision Support Systems
... • Allows for approximate values and inferences and incomplete or ambiguous data • Uses terms such as “very high” instead of precise measures • Used more often in Japan than in the U.S. • Used in fuzzy process controllers used in subway trains, elevators, and cars ...
... • Allows for approximate values and inferences and incomplete or ambiguous data • Uses terms such as “very high” instead of precise measures • Used more often in Japan than in the U.S. • Used in fuzzy process controllers used in subway trains, elevators, and cars ...
Intelligent Systems in Nanjing University
... to video game tasks such as Tetris. The group attended the RL 2008 competition and won the 6th place in the game of Tetris. Research in learning classifier systems is related to reinforcement learning as well. Our group has successfully applied the learning classifier systems technology to different ...
... to video game tasks such as Tetris. The group attended the RL 2008 competition and won the 6th place in the game of Tetris. Research in learning classifier systems is related to reinforcement learning as well. Our group has successfully applied the learning classifier systems technology to different ...
here - Faculty of Graduate Studies : Athabasca University
... and Hunan University respectively. Prior to his current position, he was a visiting scholar in the Department of Computing Science at the University of Alberta, and Professor at the School of Information Science and Engineering at Central South University. Dr. Wen’s research interests include artifi ...
... and Hunan University respectively. Prior to his current position, he was a visiting scholar in the Department of Computing Science at the University of Alberta, and Professor at the School of Information Science and Engineering at Central South University. Dr. Wen’s research interests include artifi ...
Artificial Intelligence CSC 361
... AI is a very fascinating field. It can help us solve difficult, real-world problems, creating new opportunities in business, engineering, and many other application areas. Even though AI technology is integrated into the fabric of everyday life. The ultimate promises of AI are still decades away and ...
... AI is a very fascinating field. It can help us solve difficult, real-world problems, creating new opportunities in business, engineering, and many other application areas. Even though AI technology is integrated into the fabric of everyday life. The ultimate promises of AI are still decades away and ...
Part I Artificial Intelligence
... computer science which aims to create it. Major AI textbooks define the field as "the study and design of intelligent agents." John McCarthy, who coined the term in 1956, defines it as "the science and engineering of making intelligent machines.“ (Turing first?) The field was founded on the claim th ...
... computer science which aims to create it. Major AI textbooks define the field as "the study and design of intelligent agents." John McCarthy, who coined the term in 1956, defines it as "the science and engineering of making intelligent machines.“ (Turing first?) The field was founded on the claim th ...
Artificial Intelligence for Astronomy
... of the German Enlgma machine by developing and using the first real computers. Turing, a broad-minded mathematician, was the fimt to programme computers to play chess. In 1950, he attempted to define artificial intelligence by an operational test, which later became known as the "Turing test". It to ...
... of the German Enlgma machine by developing and using the first real computers. Turing, a broad-minded mathematician, was the fimt to programme computers to play chess. In 1950, he attempted to define artificial intelligence by an operational test, which later became known as the "Turing test". It to ...
Course outline - Computing Science
... Students investigate non-deterministic computer algorithms that are used in wide application areas but cannot be written in pseudo programming languages. Non-deterministic algorithms have been known as topics of machine learning or artificial intelligence. The topics covered in this course include m ...
... Students investigate non-deterministic computer algorithms that are used in wide application areas but cannot be written in pseudo programming languages. Non-deterministic algorithms have been known as topics of machine learning or artificial intelligence. The topics covered in this course include m ...
Slide 1
... Robinson's complete algorithm for logical reasoning AI discovers computational complexity Neural network research almost disappears Early development of knowledge-based systems AI becomes an industry Neural networks return to popularity AI becomes a science The emergence of intelligent agents ...
... Robinson's complete algorithm for logical reasoning AI discovers computational complexity Neural network research almost disappears Early development of knowledge-based systems AI becomes an industry Neural networks return to popularity AI becomes a science The emergence of intelligent agents ...
Expert systems/simulations
... inference engine used in the development of expert systems Prolog - Programming language used in the development of expert systems Forth - Programming language used in the development of expert systems R1/Xcon - Order processing SHINE Real-time Expert System - Spacecraft Health INference Engine STD ...
... inference engine used in the development of expert systems Prolog - Programming language used in the development of expert systems Forth - Programming language used in the development of expert systems R1/Xcon - Order processing SHINE Real-time Expert System - Spacecraft Health INference Engine STD ...